Compressive Oversampling for Robust Data Transmission in Sensor Networks
TBMG-8853
12/01/2010
- Content
A paper discusses recent developments in the area of Compressive Sensing (CS) for data loss in wireless sensing applications. Since many physical signals of interest are known to be sparse or compressible, employing CS not only compresses the data and reduces the effective transmission rate, but also improves the robustness of the system to channel erasures. This is possible because reconstruction algorithms for compressively sampled signals are not hampered by the stochastic nature of wireless link disturbances, which has traditionally plagued attempts at proactively handling the effects of these errors.
- Citation
- "Compressive Oversampling for Robust Data Transmission in Sensor Networks," Mobility Engineering, December 1, 2010.